SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Ripple is seeking a Senior Data Scientist to drive analytics across its product and business portfolio. You will build the scientific frameworks teams use to evaluate product and business performance, and leverage AI tooling to accelerate the speed and reach of your analysis.
In this role, you will partner with product and business leads to frame the right questions, bring rigor to how they're answered, and ensure decisions rest on a consistent, thorough foundation. You'll tackle ambiguous, high-impact problems, build analyses and tooling others can reuse, and raise the analytical bar of the teams you work with.
Key responsibilities include:
- Serve as the data science lead for one or more product or business areas (Payments, Stablecoin, or Custody), applying strong methodology and tackling the hardest analytical problems in your domain.
- Partner with product and business leads to shape roadmap decisions: which initiatives to prioritize, what success looks like, and how to measure it.
- Build scientific frameworks your teams rely on: product and network health metrics, causal inference approaches, and forecasting that holds up across institutional and developer surfaces.
- Apply AI to accelerate analytics—using LLMs and agentic workflows to scale insight generation, automate routine analysis, and make data more self-serve for non-DS partners.
- Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume.
- Define and communicate the metrics your teams and leadership run on, translating complex results into clear narratives for senior stakeholders.
- Raise the bar for the DS function through mentorship and by modeling strong analytical practice for data scientists around you.
Ripple offers a hybrid work environment with flexibility—10+ days per month in-office collaboration. The company provides competitive salary, bonuses, and equity; comprehensive benefits covering physical and mental healthcare, retirement, and family support; generous vacation and parental leave policies; professional development budget; and wellness programming.
REQUIREMENTS:
- 7+ years in data science or quantitative analysis, with a track record of measurable impact on product and business decisions.
- Experience as the data science partner to cross-functional teams, shaping roadmaps and helping leaders make better-informed calls.
- Track record designing analytics and measurement frameworks that other teams adopt and build on.
- Hands-on experience applying AI to accelerate analytics workflows—agentic analysis, AI-assisted insight generation, natural-language data interfaces.
- Strong expertise in experimentation, causal inference, forecasting, and statistical modeling.
- Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks).
- Experience with FinTech, payments, crypto, or blockchain data is a strong plus.
- Advanced degree (MS, PhD) in a quantitative field preferred.
- Excellent communication skills—able to translate technical depth into clear narratives for senior stakeholders.
